SOTAVerified

Question Answering

Question answering can be segmented into domain-specific tasks like community question answering and knowledge-base question answering. Popular benchmark datasets for evaluation question answering systems include SQuAD, HotPotQA, bAbI, TriviaQA, WikiQA, and many others. Models for question answering are typically evaluated on metrics like EM and F1. Some recent top performing models are T5 and XLNet.

( Image credit: SQuAD )

Papers

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Showing 5651–5675 of 10817 papers

TitleStatusHype
LLMs Meet Long Video: Advancing Long Video Question Answering with An Interactive Visual Adapter in LLMs—0
LLMs' Reading Comprehension Is Affected by Parametric Knowledge and Struggles with Hypothetical Statements—0
IIE-NLP-Eyas at SemEval-2021 Task 4: Enhancing PLM for ReCAM with Special Tokens, Re-Ranking, Siamese Encoders and Back Translation—0
IICONGRAPH: improved Iconographic and Iconological Statements in Knowledge Graphs—0
ConvKN at SemEval-2016 Task 3: Answer and Question Selection for Question Answering on Arabic and English Fora—0
Learning to Rank Answer Candidates for Automatic Resolution of Crossword Puzzles—0
Distributed Deep Learning for Question Answering—0
IHS-RD-Belarus at SemEval-2016 Task 1: Multistage Approach for Measuring Semantic Similarity—0
I Have Seen Enough: A Teacher Student Network for Video Classification Using Fewer Frames—0
Learning to Reason Over Time: Timeline Self-Reflection for Improved Temporal Reasoning in Language Models—0
Neural Reasoning, Fast and Slow, for Video Question Answering—0
Learning to Recognize the Unseen Visual Predicates—0
Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games—0
Learning to Rehearse in Long Sequence Memorization—0
Ditch the Gold Standard: Re-evaluating Conversational Question Answering—0
General LLMs as Instructors for Domain-Specific LLMs: A Sequential Fusion Method to Integrate Extraction and Editing—0
LLMs to Support a Domain Specific Knowledge Assistant—0
LMSim : Computing Domain-specific Semantic Word Similarities Using a Language Modeling Approach—0
Diverse and Non-redundant Answer Set Extraction on Community QA based on DPPs—0
Learning to Selectively Transfer: Reinforced Transfer Learning for Deep Text Matching—0
Learning to Select Question-Relevant Relations for Visual Question Answering—0
Learning to Select the Relevant History Turns in Conversational Question Answering—0
Benchmarks for Pirá 2.0, a Reading Comprehension Dataset about the Ocean, the Brazilian Coast, and Climate Change—0
Learning to Solve Geometry Problems from Natural Language Demonstrations in Textbooks—0
If You Want to Go Far Go Together: Unsupervised Joint Candidate Evidence Retrieval for Multi-hop Question Answering—0
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All datasetsSQuAD2.0SQuAD1.1HotpotQAPIQABoolQCOPATriviaQASQuAD1.1 devNatural QuestionsOpenBookQATruthfulQAMultiRC

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1IE-Net (ensemble)EM90.94—Unverified
2FPNet (ensemble)EM90.87—Unverified
3IE-NetV2 (ensemble)EM90.86—Unverified
4SA-Net on Albert (ensemble)EM90.72—Unverified
5SA-Net-V2 (ensemble)EM90.68—Unverified
6FPNet (ensemble)EM90.6—Unverified
7Retro-Reader (ensemble)EM90.58—Unverified
8EntitySpanFocusV2 (ensemble)EM90.52—Unverified
9TransNets + SFVerifier + SFEnsembler (ensemble)EM90.49—Unverified
10EntitySpanFocus+AT (ensemble)EM90.45—Unverified